We use cookies to improve your experience on this website. Read More Allow Cookies

Key Info

  • Course CodeCR_SDAAN_9
  • Field of StudyData Science & Analytics
  • Type of CourseMasters Degree
  • Type of QualificationMaster of Science
  • Type of Study Full time
  • Application Closing Date14th August 2020
  • DurationFull-time: 3 semesters
  • Level9
  • LocationCIT Bishopstown Campus

Data Science has become a hugely important topic in recent years with a growing demand for practitioners in a variety of industries. With ever increasing growth in data generation and collection, the value of data to industries is highly dependent on appropriate analysis of the data. Consequently, data science and analytics has become a core component of both public and private sector companies wishing to maintain competitiveness.


The MSc in Data Science and Analytics at CIT, a collaboration between the Department of Mathematics and the Department of Computer Science, aims to develop highly skilled and competent graduates in the rapidly expanding field of Data Science. This collaborative programme provides graduates with a thorough grounding in the theory of data science, while allowing graduates to become highly proficient in the technical and practical skills of a modern data scientist. The course will equip graduates with the skills to gather and store data, process data using advanced statistics and techniques such as machine and deep learning and deliver new insights and knowledge from the collected data.


The full-time MSc in Data Science & Analytics will run over three semesters, i.e. fifteen months.


In Semester 1, the learner acquires the necessary foundation in Mathematics, Statistics and Computer Science. From Semester 2, the specialisation into the “Big Data” space takes effect, and the learning experience is geared specifically for the realisation of Level 9 programme outcomes.


In Semester 3, the learner undertakes a 30 credit capstone project module, in which they apply the knowledge, skills and competences acquired in the taught modules to the research and development of a Data Science problem, and successfully complete the project in accordance with a project plan.


The graduate of this MSc programme will be of high academic and practical standards, in order to match the needs of the Irish and international IT industry, especially in the “Big Data” space. 



Three semesters:

  • Semester 1 – September 2020 to January 2021
  • Semester 2 – January 20201 to June 2021
  • Semester 3 – September 20201 to January 2022



Master of Science in Data Science & Analytics

The entry requirements for the MSc programme are

  • H2.1 in a Level 8 Honours degree
  • Alternatively, graduates with a H2.2 Honours degree will be considered, subject to having three years relevant experience. See rpl for further details.
  • The language of academic instruction as well as administration is English. Non-native speakers of English require a minimum score of IELTS 6.0 is required for entry into postgraduate programmes. Appropriate EFL training courses are offered by CIT to applicants who meet the academic programme entry requirements but who need to increase their proficiency in the English language.



For information of Fees/Student Grants/Scholarships and Financial Assistance, please click here. The following is the expected fees schedule for a typical student who begins the programme in September 2020.


Union of Students in Ireland (USI) Levy
The USI membership levy of €7.00 has been introduced as a result of a referendum where students opted to affiliate to the national Students’ Union. This levy must be paid before the start of Semester 1.


To Apply


Please note that applicants will be required to pay an acceptance fee of €757 online if a place on a course is offered. This fee is deductible from the overall course fee.

Note: You will not be charged for applying for the programme by clicking the 'apply now' button, you are only asked to pay an acceptance fee if a place is offered to you and you wish to accept it.


Please upload the following documents when making your application

  • A current Curriculum Vitae
  • Supporting documents such as transcripts, etc.
  • Personal Statement - please include a 500 word personal statement detailing what has motivated you to apply the programme and how the programme will enable you to meet your career goals
  • Any further information which you think would support your application, for example, information in regard to Higher Level grades in Leaving Certificate Mathematics, Leaving Certificate Applied Mathematics, Leaving Certificate Physics

The application process may also include an interview.

This course has been designed to address the skills shortage in Data Science and Analytics, by equipping graduates with the scientific, technological, business and interpersonal skills necessary to operate professionally in this rapidly evolving interdisciplinary field.


The graduate of this programme will be of high academic and practical standards, in order to match the needs of the Irish and international IT industry, especially in the “Big Data” space. He/she will be able to ally the transferable skills obtained in his/her Level 8 degree to newly acquired knowledge, skills and competences in Statistics & Mathematics, Computer Science and Data Science, and their application to solving real-life problems. Potential job opportunities not only include that of data scientist/analyst, but also skilled staff who will be required to extract actionable insight from large amounts of raw data in order to enable better decision making within an organisation.

The full-time MSc in Data Science & Analytics will run over three semesters, i.e. fifteen months. Each semester accrues 30 credits.


The Semester 1 schedule consists of six taught modules (each 5 credits). The learner acquires a foundation in Mathematics, Statistics and Computer Science, with the signature module DATA8001 Data Science & Analytics overarching the other five modules of this semester. 


Semester 1

Module Code   Module Title

DATA8001       Data Science and Analytics

MATH8009      Mathematical Methods and Modelling

DATA8002       Data Management Systems

DATA8003       Unstructured Data & Visualisation

COMP8042      Analytical and Scientific Programming

STAT8006        Applied Stats & Probability


It is during the second semester that the specialisation into the “Big Data” space takes effect, with modules in Statistics for Big Data, Data Visualisation, Distributed Data Management, Time Series, and Machine Learning.


Semester 2

Module Code   Module Title

STAT9004        Statistical Data Analysis

DATA9001       Data Visualisation & Analytics

DATA9002       Distributed Data Management

STAT9005        Time Series & Factor Analysis

COMP9060      Applied Machine Learning

MATH9001      Research Methods


In Semester 3, the MSc learner undertakes one capstone project module (DATA9003 Research Project – Data Science) worth 30 credits. 


Module Details >>


Contact hours

Semester 1           
24 contact hours per week. The learner should also expect to invest at least 18 hours per week in independent learning (independent study, preparation of coursework, etc.)


Semester 2           
23 contact hours per week. The learner should also expect to invest at least 19 hours per week in independent learning (independent study, preparation of coursework, etc.)


Semester 3           
The learner will work full-time on the 30 credit project. Typically, this involves a workload of 42 hours per week, to include meeting with CIT project supervisor. 

Personal Assistant